paper-with-me

Papers

Chebyshev distances associated to the second members of systems of Max-product/Lukasiewicz Fuzzy relational equations

2023-01-30 · Ismaïl Baaj

In this article, we study the inconsistency of a system of $\max$-product fuzzy relational equations and of a system of $\max$-Lukasiewicz fuzzy relational equations. For a system of $\max-\min$ fuzzy relational equations $A \Box_{\min}^{\max} x = b$ and using the $L_\infty$ norm, (Baaj, 2023) showed that the Chebyshev distance $\Delta = \inf_{c \in \mathcal{C}} \Vert b - c \Vert$, where $\mathcal{C}$ is the set of second members of consistent systems defined with the same matrix $A$, can be computed by an explicit analytical formula according to the components of the matrix $A$ and its second member $b$. In this article, we give analytical formulas analogous to that of (Baaj, 2023) to compute the Chebyshev distance associated to the second member of a system of $\max$-product fuzzy relational equations and that associated to the second member of a system of $\max$-Lukasiewicz fuzzy relational equations.

📄 PDF Abstract BibTeX arXiv:2302.08554

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Handling the inconsistency of systems of $\min\rightarrow$ fuzzy relational equations

2023-08-22 · Ismaïl Baaj

In this article, we study the inconsistency of systems of $\min-\rightarrow$ fuzzy relational equations. We give analytical formulas for computing the Chebyshev distances $\nabla = \inf_{d \in \mathcal{D}} \Vert \beta - …

Maximal Consistent Subsystems of Max-T Fuzzy Relational Equations

2023-11-06 · Ismaïl Baaj

In this article, we study the inconsistency of a system of $\max-T$ fuzzy relational equations of the form $A \Box_{T}^{\max} x = b$, where $T$ is a t-norm among $\min$, the product or Lukasiewicz's t-norm. For an incons…

Max-min Learning of Approximate Weight Matrices from Fuzzy Data

2023-01-15 · Ismaïl Baaj

In this article, we study the approximate solutions set $\Lambda_b$ of an inconsistent system of $\max-\min$ fuzzy relational equations $(S): A \Box_{\min}^{\max}x =b$. Using the $L_\infty$ norm, we compute by an explici…

Denting the FRTB IMA computational challenge via Orthogonal Chebyshev Sliding Technique

2019-11-25

In this paper we introduce a new technique based on high-dimensional Chebyshev Tensors that we call \emph{Orthogonal Chebyshev Sliding Technique}. We implemented this technique inside the systems of a tier-one bank, and …

Disentangling Speaker Traits for Deepfake Source Verification via Chebyshev Polynomial and Riemannian Metric Learning

2026-03-23 · Xi Xuan, Wenxin Zhang, Zhiyu Li, Jennifer Williams 외 arxiv

Speech deepfake source verification systems aims to determine whether two synthetic speech utterances originate from the same source generator, often assuming that the resulting source embeddings are independent of speak…

Metric Learning